| Literature DB >> 35397474 |
Jacob A Rohde1, Seth M Noar1,2, Jennifer Mendel Sheldon2, Marissa G Hall2,3,4, Talia Kieu3, Noel T Brewer2,3.
Abstract
INTRODUCTION: Adolescent vaping remains a problem in the United States, yet little is known about what health warning themes most discourage vaping among adolescents. We sought to identify the most compelling themes for vaping warnings for US adolescents.Entities:
Mesh:
Year: 2022 PMID: 35397474 PMCID: PMC9356688 DOI: 10.1093/ntr/ntac093
Source DB: PubMed Journal: Nicotine Tob Res ISSN: 1462-2203 Impact factor: 5.825
Vaping Warning Messages Used in the Experiment.
| Control | Nicotine addiction | Chemical harms | Lung harms | COVID-19 harms |
|---|---|---|---|---|
| Vape litter requires cleanup. Discard vape refills properly. | Vapes contain nicotine. | Vaping can expose you to formaldehyde. | Vaping causes coughing and wheezing. | Vaping increases your chances of COVID-19 infection. |
| Please refrain from littering vape refills. | Vapes contain nicotine. Nicotine is an addictive substance. | Vape liquids contain harmful chemicals. | Vaping damages your lungs. | Vaping makes you more likely to develop a severe case of COVID-19. |
| Vapes don’t biodegrade. Please do not litter. | Nicotine is an addictive substance | Vaping can expose you to acrolein. | Vaping causes asthma problems. | Vaping increases your risk of being hospitalized for COVID-19. |
Participant Characteristics; N = 623.
|
| |
|---|---|
| Age, M years (SD, range) | 15 (1.34, 13–17) |
| Race | |
| White | 404 (65%) |
| Black or African American | 102 (16%) |
| Asian | 23 (4%) |
| American Indian or Alaskan Native | 4 (1%) |
| Native Hawaiian or other Pacific Islander | 1 (<1%) |
| More than one race | 66 (11%) |
| Other/did not answer | 23 (4%) |
| Hispanic | 119 (19%) |
| Gender | |
| Female | 329 (53%) |
| Male | 269 (43%) |
| Other/nonbinary | 17 (3%) |
| No response | 8 (1%) |
| Sexual attraction | |
| Attracted to the opposite sex only | 426 (68%) |
| All others | 197 (32%) |
| Parent education | |
| Less than high school | 9 (1%) |
| High school (or equivalent) | 73 (12%) |
| Some college or associate’s | 236 (38%) |
| Bachelor’s degree | 155 (25%) |
| Graduate degree | 150 (24%) |
| Household income | |
| US $0-$24 999 | 99 (16%) |
| US $25 000-$49 999 | 146 (23%) |
| US $50 000-$74 999 | 116 (19%) |
| US $75 000-$99 999 | 98 (16%) |
| US $100 000 or greater | 164 (26%) |
| Vaping status | |
| Not at-risk of vaping | 241 (39%) |
| At-risk of vaping | 293 (47%) |
| Current vaper | 89 (14%) |
| Current other tobacco product use | |
| Combustible cigarettes | 52 (8%) |
| Little cigars and cigarillos | 40 (6%) |
| Traditional cigars | 22 (4%) |
| Hookah | 21 (3%) |
| Smokeless tobacco | 12 (2%) |
| Pipe filled with tobacco | 4 (1%) |
| Tobacco product use in the home | 222 (36%) |
Note. M = Mean; SD = standard deviation;
variable represents the education of the parent in the household with the most years of schooling.
Impact of Warning Message Themes on Primary and Secondary Outcomes.
| Warning message theme | PME | Attention | Negative affect (fear) | Anticipated social interactions | Message novelty |
|---|---|---|---|---|---|
|
|
|
|
|
| |
| Control (vape litter) | 2.59 (1.44)a | 2.42 (1.37)a | 2.07 (1.34)a | 1.99 (1.22)a | 2.82 (1.26)a |
| Nicotine addiction | 3.34 (1.17)b | 2.95 (1.32)b | 2.46 (1.37)a | 2.24 (1.30)a,b | 2.28 (1.42)b |
| Chemical harms | 4.00 (1.03)c | 3.33 (1.25)b,c | 3.09 (1.33)b | 2.45 (1.25)b,c | 3.29 (1.15)c |
| Lung harms | 4.05 (1.00)c | 3.30 (1.25)b,c | 3.01 (1.38)b | 2.64 (1.28)b,c | 2.95 (1.39)a,c |
| COVID-19 harms | 3.93 (1.06)c | 3.62 (1.32)c | 3.26 (1.42)b | 2.78 (1.39)c | 3.38 (1.30)c |
Note. M = mean; SD =standard deviation; PME = perceived message effectiveness. In each column, cells with different subscripts differ at p < .05 based on Tukey HSD pairwise comparisons; control, n = 116; nicotine addiction, n=127; chemical harms, n = 127; lung harms, n = 132; COVID-19 harms, n = 120.
Figure 1.PME Differences Across Warning Message Theme.